YUNHO

I am a mathematical statistician motivated by the geometric structures inherent in modern scientific data. My research investigates the underlying geometry of statistical inference in inverse problems and Optimal Transport (OT), primarily through the lenses of Metric Geometry and Reproducing Kernel Hilbert Spaces (RKHS).

Currently a Founder's Postdoctoral Fellow at Columbia University, working with Ming Yuan and Bodhisattva Sen. I earned my Ph.D. at the Chair of Mathematical Statistics, EPFL, under the supervision of Victor M. Panaretos. Prior to this, I completed my Master's degree at the Nonparametric Inference Lab, Seoul National University, supervised by Byeong U. Park.

Research Keywords:

Kernel Learning ⋅ CT Scans & Cryo-EM ⋅ Gaussian Optimal Transport ⋅ Quantum Mechanics

Please see the attached CV for recent updates (Last updated: September 2026).